We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...
Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Comparator-based switched capacitor (CBSC) circuits present an alternative approach to designing sampled data systems based on the principle of detecting a virtual ground conditio...
Massoud Momeni, Petru Bogdan Bacinschi, Manfred Gl...